抽油机中电动机扭矩软测量方法的研究  

Research on Soft Sensing Method for Motor Torque Measurement in Oil Pumping Unit

作　　者：黄安贻[1] 廖绪兵[1] 朱志宏[2] 关密生[2] 

机构地区：[1]武汉理工大学机电工程学院,湖北武汉430070 [2]新疆油田分公司勘探开发研究院,新疆克拉玛依834000

出　　处：《自动化仪表》2009年第9期21-23,共3页Process Automation Instrumentation

摘　　要：抽油机所用电动机的输出扭矩是分析抽油机动态平衡的重要参数。针对传统测量方法存在成本高、安装困难、可靠性差等不足,提出了基于抽油机系统数学模型和BP神经网络模型这2种软测量扭矩的方法。研究结果表明,这2种方法克服了传统测量方法的不足,并获得了较高的测量精度。由于这2种方法具有各自的特点,因此,可以应用于不同要求的抽油机扭矩测量系统中。The output torque of the motor used in oil pumping unit is an important parameter for analyzing dynamic balance of the oil pumping unit. Aiming at the disadvantages of traditional measurement method, such as high cost, difficult installation, and poor reliability, etc. , two of the soft sensing methods based on mathematical model of the oil pumping system and BP neural network are proposed. The results of research indicate that these two methods overcome the disadvantages of traditional measuring methods, and offer higher measurement accuracy. These two methods possess their own features, thus they can be used in torque measuring systems with different requirements.

关 键 词：扭矩 软测量 抽油机 数学模型 BP神经网络 

分 类 号：TH113[机械工程—机械设计及理论]